Design of Decision Tree Structure with Improved BPNN Nodes for High-Accuracy Locomotion Mode Recognition Using a Single IMU

Design of Decision Tree Structure with Improved BPNN Nodes for High-Accuracy Locomotion Mode Recognition Using a Single IMU

Smart wearable robotic system, such as exoskeleton assist device and powered lower limb prostheses can rapidly and accurately realize man–machine interaction through locomotion mode recognition system. However, previous locomotion mode recognition studies usually adopted more sensors for higher accu...

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Bibliographic Details
Main Authors: Yang Han, Chunbao Liu, Lingyun Yan, Lei Ren
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
wearable robotic system
locomotion mode recognition
inertial measurement unit (IMU)
decision tree structure (DTS)
Online Access:https://www.mdpi.com/1424-8220/21/2/526

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